Fig. 1.

Discovering underlying transcriptional networks from time-series gene expression data. The LEM inference method utilizes time-series gene expression data (left) to estimate parsimonious network structures matching the observed dynamics (right). In general, LEM will test every input node as a possible regulator of all others. These LEM outputs may be refined by biological prior information (center) within a Bayesian framework to generate plausible network models (right). AU arbitrary units, LEM Local Edge Machine